Sistem Monitoring Kualitas Udara pada Ruangan Belajar Berbasis Sensor MG811, DHT11, Dan LDR Menggunakan Platform IoT

Abstract

Climate change and environmental pollution are global issues that have a significant impact on human health. Not only outdoor air quality, but also indoor air quality and lighting have an important role in supporting health, comfort, and productivity. This research aims to design an indoor air quality monitoring system based on Internet of Things (IoT) technology by utilizing MG811, DHT11 and LDR sensors. The research method involves the stages of design, microcontroller programming, sensor testing, and system integration with the IoT platform to visualize real-time data. MG811 sensors are used to detect carbon dioxide (CO2) levels, DHT11 sensors to measure temperature and humidity, and LDR sensors to monitor lighting intensity. This system is expected to provide real-time data to support the creation of a healthier, more comfortable, and productive learning environment. The data that has been read will be automatically entered into the telegram and displayed on the LCD. Therefore, this system works well to measure temperature, humidity, CO2, and light intensity with an average error value of 0,93% temperature, 1,62% humidity, 1,60% CO2 and 0,84% light intensity.